Synopsys (SNPS) EBIT (2009 - 2026)
Synopsys' EBIT was $357.49 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 116.3% from $165.27 million a year earlier.
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Analysis
Synopsys (SNPS) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Synopsys' EBIT was $847.2 million through Jul 31, 2026, down 23.3% year-over-year; for FY2025 (ended Oct 31, 2025), it was $914.93 million, down 32.5% from FY2024.
- EBIT shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier fiscal years, EBIT was $1.36 billion in FY2024 (+6.5%), $1.27 billion in FY2023 (+10.8%), $1.15 billion in FY2022 (+56.3%) and $734.79 million in FY2021 (+18.5%).
- The fiscal Q3 2026 figure marks the highest quarterly EBIT since fiscal Q2 2025.
- Compared with a year earlier, EBIT was higher in two of the last seven quarters, with an average decline of 8.6%.
- The best year-over-year quarter for EBIT over five years was fiscal Q1 2022 (growth of 133.9%); the worst was fiscal Q4 2025 (a decline of 60.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 63.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 24.25 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 15.96 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 33.32 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 1.99 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 1.80 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 2.51 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 3.08 Bn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | 357.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 357.49 Mn |
| Jan 31, 2026 | 203.05 Mn |
| Oct 31, 2025 | 121.39 Mn |
| Jul 31, 2025 | 165.27 Mn |
| Apr 30, 2025 | 376.43 Mn |
| Jan 31, 2025 | 251.84 Mn |
| Oct 31, 2024 | 310.80 Mn |
| Jul 31, 2024 | 360.21 Mn |
| Apr 30, 2024 | 332.07 Mn |
| Jan 31, 2024 | 352.63 Mn |
| Oct 31, 2023 | 424.17 Mn |
| Jul 31, 2023 | 300.08 Mn |
| Apr 30, 2023 | 292.38 Mn |
| Jan 31, 2023 | 255.93 Mn |
| Oct 31, 2022 | 204.05 Mn |
| Jul 31, 2022 | 233.93 Mn |
| Apr 30, 2022 | 363.70 Mn |
| Jan 31, 2022 | 347.04 Mn |
| Oct 31, 2021 | 190.29 Mn |
| Jul 31, 2021 | 201.92 Mn |
API Access
Synopsys EBIT API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebit&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "SNPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();